Absolute silence without compromising performance is my only benchmark score.

After crunching for Rosetta@home for quite some time i've decided to go with WCG because they also offer GPU computation for certain projects. However i've noticed that no matter how i set it, it always performs just 1 task at once using GPU and like 8 on my CPU (where is the GPU parallelism here!?). Is there any special reason for such behavior or can i force it to use more of my GPU ? I mean, after all i do have the HD7950 and i'd like to run max lets say 4 tasks on it at the same time. Is it possible?

After crunching for Rosetta@home for quite some time i've decided to go with WCG because they also offer GPU computation for certain projects. However i've noticed that no matter how i set it, it always performs just 1 task at once using GPU and like 8 on my CPU (where is the GPU parallelism here!?). Is there any special reason for such behavior or can i force it to use more of my GPU ? I mean, after all i do have the HD7950 and i'd like to run max lets say 4 tasks on it at the same time. Is it possible?

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Absolute silence without compromising performance is my only benchmark score.

Those configs are useless. I've used one template and now all it does is cruch HCC even though i also work on other projects... it's crunching 10 tasks at once at incredible speed but CPU is not being used for other projects... can someone help me out with this thing?

Those configs are useless. I've used one template and now all it does is cruch HCC even though i also work on other projects... it's crunching 10 tasks at once at incredible speed but CPU is not being used for other projects... can someone help me out with this thing?

BOINC will only crunch whatever is on app_info so your projects need to be specified inside. I've gone and put together the app_info code you need to run the projects you listed. Asuming this is for your i7/HD7970 setup I made this file use 4 GPU WU (locked to a CPU thread each) for HCC, and to then the remaining 4 CPU threads to work on the FAAH and HPF2 project.

I think you already have a good grasp of how this works, but for posteriety I'll write down the steps needed to make the change minimising the chance of errors.

Before you install it:
1) Hit "no new tasks" in BOINC. Wait to finish or abort (send back to server) the WU in the task list.
2) Once clear, close BOINC and remove your app_info.
3) Start BOINC without any app_info. Hit the update button, wait for BOINC to download everything it needs to run normally.
4) Repeat step 1) at this point
5) Close BOINC, put in this new app_info file and restart it.

Remember, this file is untested! But let me know if you encounter any problems.

Yeah, only problem is that you have to explicitly specify everything. I thought it only reads stuff that you specify and the rest remains default. But it seems that app_info.xml overrides everything.

One more question, does the GPU WU have to be locked to 1 CPU core as well (1 CPU + 1 GPU)?

I'd dedicate just GPU for like 10 HCC WU's (without any CPU assist) and the remaining 8 threads for FightAIDS and HumanProteome

Is this even possible?

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On my i7-920, I'm running 12 GPU WUs (4/card) and 1 CPU WU. This is probably about as hard as you'd want to push it. The output of the CPU is low enough (at least compared to a GPU) that you don't want to make the GPUs wait any longer by throwing in more CPU tasks

Absolute silence without compromising performance is my only benchmark score.

Thx for all the effort but after poking with this thing for a while i've decided to stop all other projects for now and will only continue to work on HCC using 8 CPU + GPU threads (0.125 GPU load). When other projects will start using GPU, i'll add those as well.

Using CPU seems such a waste of energy. It's crunching data for 4 hours at 100% load where GPU does like 10 WU's in 10 minutes. It's just not comparable.

Thx for all the effort but after poking with this thing for a while i've decided to stop all other projects for now and will only continue to work on HCC using 8 CPU + GPU threads (0.125 GPU load). When other projects will start using GPU, i'll add those as well.

Using CPU seems such a waste of energy. It's crunching data for 4 hours at 100% load where GPU does like 10 WU's in 10 minutes. It's just not comparable.

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Fair enough. I like to support other projects as well, but in terms of work done/watt consumed, it's hard to beat a GPU right now.